Rapid Prediction of Electron–Ionization Mass Spectrometry Using Neural Networks-Reference-Cited by-同舟云学术

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Rapid Prediction of Electron–Ionization Mass Spectrometry Using Neural Networks

Published:2019-03-19 Issue:4 Volume:5 Page:700-708
ISSN:2374-7943
Container-title:ACS Central Science
language:en
Short-container-title:ACS Cent. Sci.

Author:

Wei Jennifer N.¹²^ORCID,Belanger David¹,Adams Ryan P.³,Sculley D.¹

Affiliation:

1. Google Brain, Cambridge, Massachusetts 02142, United States

2. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States

3. Departmment of Computer Science, Princeton University, Princeton, New Jersey 08540, United States

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acscentsci.9b00085

Reference42 articles.

1. Increasing Speed and Throughput When Using HPLC-MS/MS Systems forDrug Metabolism and Pharmacokinetic Screening

2. Personal Information from Latent Fingerprints Using Desorption Electrospray Ionization Mass Spectrometry and Machine Learning

3. Ions in space

4. Stein, S. E. Mass Spectral Database; National Institute of Standards and Technology (NIST), 2017.

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